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Amazon RDS vs Google Cloud SQL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon RDS
Ranking in Database as a Service (DBaaS)
2nd
Ranking in Relational Databases Tools
9th
Average Rating
8.4
Reviews Sentiment
6.7
Number of Reviews
58
Ranking in other categories
No ranking in other categories
Google Cloud SQL
Ranking in Database as a Service (DBaaS)
6th
Ranking in Relational Databases Tools
18th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
24
Ranking in other categories
Database Management Systems (DBMS) (9th)
 

Mindshare comparison

As of April 2026, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 11.8%, down from 25.1% compared to the previous year. The mindshare of Google Cloud SQL is 7.4%, down from 16.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Mindshare Distribution
ProductMindshare (%)
Amazon RDS11.8%
Google Cloud SQL7.4%
Other80.8%
Database as a Service (DBaaS)
 

Featured Reviews

BS
AWS Architect at Virtual University
Customer support and automated backups offer reliability while ease of deployment enhances user experience
The features of Amazon RDS that I have found most valuable include web and mobile applications, enterprise applications, data warehousing and analytics, and software as a service platforms, along with dev testing environments, disaster recoveries, and backups. The mobile app backend and development environment is also the best feature for database management for my customers. Database management is effective in Amazon RDS because it offers automated backups, high availability, read replicas, and support from multiple database engineers, while also providing security, monitoring and metrics, scalability. We are using snapshots and database migrations as well as performance optimization. The impact of Amazon RDS scalability and backup has been positive, with good vertical scaling, scale up and down, horizontal scaling, and storage scaling. The performance was good and availability helped with reducing downtime.
RR
SDE 2 at Virtusa
Drag and drop workflows have simplified data mapping and currently improve my cloud database work
The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"RDS is stable, a cloud solution is always stable, and RDS servers are solid."
"The product's initial setup phase is totally easy."
"The solution’s scalability, usability, and availability are valuable to us."
"The most valuable feature is that it is a fully managed database, where they handle most of the administrative tasks and leaves the users more time to concentrate on business."
"I use Amazon RDS to support scalability, with multi-AZ support being an essential aspect."
"Very easy to start with."
"The tool is very easy to use and configure."
"Being able to change the size of an RDS MySQL instance is amazing."
"The speed is very good, it's useful in terms of the simplicity of doing backups, you can have redundant databases for reports or posts, it's SQL which is easy to learn if you know something about databases, I like the cloud aspect, the pricing of the solution seems reasonable, and the solution is stable."
"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."
"It directly provides robust data safety. It also offers various other storage options, such as Google Cloud Storage. These services ensure data security and redundancy. Furthermore, it includes different storage classes, allowing flexible data management tailored to specific needs."
"Google Cloud SQL is very easy to use and easy to set up; it brings the benefits of being simple to perform queries, store data that I needed to store, and extract data when I needed to extract it quite quickly, without having to set up a full database and queries around it."
"Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed."
"Ease of management and the ability to oversee the statistics of your SQL."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."
 

Cons

"There are a few aspects of database management that have room for improvement. There are a few parameters in the solution that are a bit unclear at our end as it's not understandable."
"You can only get access from the sales support. That means if you want to buy something or renew your subscription or upgrade, all these services are easily available. Yet, if you would like to get some technical support, you have to pay for it."
"Some features are disabled, like running "alter system/database". There are Amazon alternatives, but it is not transparent to the application."
"The Performance Monitor they have is a little clanky, at least in regards to the UI."
"A lot of the features are disabled by default. The solution should enable more features."
"For improvements, Amazon RDS could work on more features for multi-availability zone deployment to enhance higher availability, and on simplifying migration for those transitioning from on-premises to cloud environments."
"The Amazon RDS engine could provide features for additional databases, such as Db2. It could also provide support for other databases, such as NoSQL databases, DynamoDB, and Apache Cassandra. They could all stay under one hood."
"The product's high price is an area of concern where improvements are required."
"There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Connector. When I click a button such as open configuration on data map configuration, the UI becomes totally white, no text is visible clearly, and it is very frustrating."
"The only room for improvement here is that they need to connect to more existing data sources so that it becomes easier for a layman to get a more realistic understanding of what's happening."
"I would like to see better integration with all the different tools on the platform."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential."
"Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks."
"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."
"It is hard to do logging with the solution."
"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."
 

Pricing and Cost Advice

"The solution is fairly priced."
"The solution is expensive."
"Amazon RDS is less expensive than other solutions."
"The product is expensive."
"The platform pricing is on the higher side, but given its capabilities and ease of use, it remains competitive."
"We are paying for a service license."
"In my case, MySQL is free, and if there are any costs, then it is much less than other solutions since all such things usually come bundled with the hardware."
"The cost is manageable because you can see the expense associated with each instance and utilize tools for tagging and cost control."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"The solution is affordable."
"It is not expensive, especially considering the significant reduction in database management time."
"You need to pay extra costs for backup and replication."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"The pricing is very much an important factor as to why we use this solution."
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Top Industries

By visitors reading reviews
Computer Software Company
10%
Financial Services Firm
10%
University
8%
Manufacturing Company
6%
Financial Services Firm
14%
Educational Organization
12%
Computer Software Company
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise16
Large Enterprise22
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise10
 

Questions from the Community

What needs improvement with Amazon RDS?
Currently, I cannot think of any major improvements. Perhaps more platforms in terms of database engine versions would be beneficial. Right now, Amazon RDS supports MySQL and PostgreSQL, but there ...
What is your primary use case for Amazon RDS?
I am a Solutions Architect, so I design solutions for our clients. Prior to this role, I was an implementation engineer, so I also implement solutions for our customers.
What is your experience regarding pricing and costs for Google Cloud SQL?
We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.
What needs improvement with Google Cloud SQL?
Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive. From a user perspective, if Google Cloud SQL integrated AI directly into the query so tha...
What is your primary use case for Google Cloud SQL?
I have been using Google Cloud SQL for two or three years since I started.
 

Also Known As

RDS
No data available
 

Overview

 

Sample Customers

Edmodo
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
Find out what your peers are saying about Amazon RDS vs. Google Cloud SQL and other solutions. Updated: April 2026.
886,976 professionals have used our research since 2012.